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About Natural Language Processing With Deep Learning CS224N/Ling284
This document summarizes a lecture on Transformers. The lecture discusses how Transformers have revolutionized natural language processing and achieved state-of-the-art results on many NLP tasks. It also covers how Transformers use attention rather than recurrence, which allows all elements of a sequence to interact with each other without regard to their distance in the sequence. The lecture outlines how Transformers work and some drawbacks and variants.
Detailed Information
| Author: | ['dinhmanh hoang'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 62 |
| Language: | English |
| Format: | |
| Price: | FREE |
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